Evidence map›Paper›PMID 32579922›Full record

ArticleCell reports2020

Sex Differences in Gene Expression and Regulatory Networks across 29 Human Tissues.

Camila M Lopes-Ramos, Cho-Yi Chen, Marieke L Kuijjer, Joseph N Paulson, Abhijeet R Sonawane, Maud Fagny, John Platig, Kimberly Glass, John Quackenbush, Dawn L DeMeo

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 250 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
250citing papers in PubMed, 3 pooled it
25.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

250 citing papers in PubMed, 3 syntheses or guidelines pooled it, 527 citations in OpenAlex.

  1. Pooled it
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  4. Effects of exercise on whole-blood transcriptome profile in children with overweight/obesity.American journal of human biology : the official journal of the Human Biology Council · 2024
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190 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 4 countries.

Camila M Lopes-RamosDepartment of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Cho-Yi ChenInstitute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
Marieke L KuijjerCentre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, Oslo, Norway.
Joseph N PaulsonDepartment of Biostatistics, Product Development, Genentech Inc., San Francisco, CA, USA.
Abhijeet R SonawaneChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Maud FagnyGenetique Quantitative et Evolution-Le Moulon, Universite Paris-Saclay, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre National de la Recherche Scientifique, AgroParisTech, Gif-sur-Yvette, France.
John PlatigChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Kimberly GlassDepartment of Biostatistics, Harvard School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
John QuackenbushDepartment of Biostatistics, Harvard School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. Electronic address: johnq@hsph.harvard.edu.
Dawn L DeMeoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA. Electronic address: dawn.demeo@channing.harvard.edu.
Brigham and Women's Hospital · USAgroParisTech · FRHarvard University · USNational Yang Ming Chiao Tung University · TWUniversity of Oslo · NO

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHOI, MARY E · 2013 to 2025
$24.9M
Systems Biology, Bioinformatics, and BiostatisticsP01HL105339 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2011 to 2015
$12.2M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Chemical Inhibitors to Define an Essential M. Tuberculosis Signaling NetworkR01AI099204 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI HUSSON, ROBERT N · 2012 to 2016
$6.1M
Unraveling the Complexities of Risk and Mechanism in CancerR35CA220523 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2018 to 2024
$6.0M
Using Networks to Assign Gene Function in Lung DiseaseR01HL111759 · NHLBI · DANA-FARBER CANCER INST · PI QUACKENBUSH, JOHN, SILVERMAN, EDWIN K · 2012 to 2015
$3.4M
Genotype and Imaging Phenotype Biomarkers in Lung CancerU01CA190234 · NCI · DANA-FARBER CANCER INST · PI AERTS, HUGO, QUACKENBUSH, JOHN · 2015 to 2019
$3.3M
Using Integrative Networks to Explore Heterogeneous Phenotypes in COPDK25HL133599 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GLASS, KIMBERLY RENEE · 2016 to 2020
$945k
Context matters: Network modeling of COPD regulatory variants across tissues and exposuresK25HL140186 · NHLBI · UNIVERSITY OF VIRGINIA · PI PLATIG, JOHN · 2018 to 2022
$926k
NCI NIH HHS P30 CA006516NCI NIH HHS P50 CA127003NCI NIH HHS R35 CA197449NCI NIH HHS R35 CA220523NCI NIH HHS U01 CA190234NHLBI NIH HHS K25 HL133599NHLBI NIH HHS K25 HL140186NHLBI NIH HHS P01 HL105339NHLBI NIH HHS P01 HL114501NHLBI NIH HHS R01 HL111759NIAID NIH HHS R01 AI099204
6 · The paper itself

Abstract

Sex differences manifest in many diseases and may drive sex-specific therapeutic responses. To understand the molecular basis of sex differences, we evaluated sex-biased gene regulation by constructing sample-specific gene regulatory networks in 29 human healthy tissues using 8,279 whole-genome expression profiles from the Genotype-Tissue Expression (GTEx) project. We find sex-biased regulatory network structures in each tissue. Even though most transcription factors (TFs) are not differentially expressed between males and females, many have sex-biased regulatory targeting patterns. In each tissue, genes that are differentially targeted by TFs between the sexes are enriched for tissue-related functions and diseases. In brain tissue, for example, genes associated with Parkinson's disease and Alzheimer's disease are targeted by different sets of TFs in each sex. Our systems-based analysis identifies a repertoire of TFs that play important roles in sex-specific architecture of gene regulatory networks, and it underlines sex-specific regulatory processes in both health and disease.

Indexed as

Gene Expression RegulationGene Regulatory NetworksSex CharacteristicsChromosomes, Human, XDNA-Binding ProteinsFemaleHumansMaleOrgan SpecificityTranscription Factorsc-MYC-associated zinc finger proteinDNA-Binding ProteinsTranscription Factorsdifferential expressiondifferential targetinggendergene regulationgene regulatory networksGTExsex differencessexual dimorphism

Identifiers

PMID32579922
PMCPMC7898458
OpenAlexW3037120109

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.